MatFactory: A Framework for High-Performance Matrix Factorization on FPGAs

Matrix factorization is a widely used powerful tool in signal processing, machine learning and high performance computing. For accelerating matrix factorization, FPGAs are suitable platforms, as they can build wide and deep pipelines with favorable power efficiency. Factorizing matrices on FPGAs is...

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Vydané v:	Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design s. 1 - 9
Hlavní autori:	Zhang, Mingzhe, Hao, Xiaochen, Rong, Hongbo, Chen, Wenguang
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ACM 27.10.2024
Predmet:	Design automation Field programmable gate arrays Hardware High performance computing Libraries Machine learning Pipeline processing Scalability Signal processing Signal processing algorithms
ISSN:	1558-2434
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